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The Vietnamese government have plan to develop the wind farms with the expected capacity of 6 GW by 2030. With the high penetration of wind power into power system, wind power forecasting is essentially needed for a power generation balancing in power system operation and electricity market. However, such a tool is currently not available in Vietnamese wind farms as well as electricity market. Therefore, a shortterm wind power forecasting tool for 24 hours has been created to fill in this gap, using artificial neural network technique. The neural network has been trained with past data recorded from 2015 to 2017 at Tuy Phong wind farm inBinh Thuan province of Viet Nam. It has been tested for wind power prediction with the input data from hourly weather forecast for the same wind farm. The tool can be used for shortterm wind power forecasting in Vietnamese power system in a foreseeable future.